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recommendations will be generated to optimize glycemic control and reduce risk of complications. The research will integrate both observational analyses of CGM data and a subsequent clinical trial to evaluate
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fuels through rheological control. The project also encompasses fundamental kinetic modelling, mechanistic studies using in-situ spectroscopy, and preliminary techno-economic assessments for future scale
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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, this project will Investigate current DES(s) on “controlled” mixed battery chemistries; specifically NMC:LFP ratios. It will also develop an extraction process to optimally recover metals from NMC:LFP black mass
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entitled “Eggsurance? A randomized controlled trial of a decision aid for elective egg freezing ”. 2023 - Alexandra Roddy Mitchell & Dr Arun Sett Alexandra Roddy Mitchell was awarded for the 2023 paper
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This project aims to advance the field of human movement science by addressing the challenges encountered when developing a low-cost, automated system for screening the movement of pre-elite student
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the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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of scholarships: One Contact person: Mario Fruzangohar (mario.fruzangohar@adelaide.edu.au ) Project 3: Developing data-informed mathematical models for locust hopper band movement to improve control measures
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augmentations such as project energy connect, Humelink, Marinus Link ETC Lack of available accurate generator and reinforcement models Protection and emergency control scheme modelling challenges. The research